Scott Carlson is a software developer with a decade of engineering experience and 15+ years working at the intersection of software, metadata, and academic libraries. He builds practical APIs and internal tools—recently contributing to event-driven microservices and ETL pipelines at Cloudrise and streamlining monitoring and data-enrichment workflows at Arizona State University. Comfortable across Python, Flask, serverless AWS, and data-cleaning stacks (Pandas, OpenRefine), he specializes in making complex back-end systems accessible to non-developers. His background in library science and digital stewardship informs a disciplined approach to metadata modeling, integrations (Ex Libris Alma/Primo), and archival packaging. Based in Marysville, WA, Scott blends production-grade engineering with domain expertise in institutional repositories and has a knack for reducing runtimes and operational friction. A creative tinkerer off-hours—his GitHub bio hints at a playful, service-oriented mindset that complements his technical rigor.
10 years of coding experience
4 years of employment as a software developer
Associate's degree, Associate's degree at University of Wisconsin-Fox Valley
Master of Library & Information Science - MLIS, Library and Information Science, Master of Library & Information Science - MLIS, Library and Information Science at Dominican University
Certificate, Digital Stewardship, Certificate, Digital Stewardship at Simmons University
Bachelor's degree, Journalism, Bachelor's degree, Journalism at Columbia College Chicago
Grateful Data isn't programming code, but an online tutorial about data acquisition, cleaning and enriching, using publicly accessible data on the band the Grateful Dead as examples. Read the Wiki to find out how to use the sample data.
Contributions:1 release, 34 commits, 1 PR in 3 years 8 months
cleaningdata-acquisitiondatasample-dataaccessible
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Scott Carlson - Software Developer at Cerity Partners